Artificial intelligence has been promising to revolutionize the world since before the personal computer even existed. And yet, the past few years we've seen a number of "sea change" events in terms of artificial intelligence and machine learning. From self-driving cars to GPT-3 transformers, DALL-E, and GitHub Copilot, AI is starting to cause real and sudden changes in the world around us.

But is this AI future we find ourselves in really for everyone? Is it possible for us to innovate new technologies and not leave entire groups of people in the dust? Bias and fairness around racial, gender, and age groups are a very real concern in machine learning systems. Additionally, we're starting to see the beginnings of AI negatively impacting established industries. Beyond that, there are some very real concerns about privacy and data ownership.

And what of the learning curve for getting into AI? Can artificial intelligence and machine learning truly be for everyone and truly serve everyone?

This is a non-technical talk focusing on ethical issues in AI and recent AI trends. We'll talk about Fairlearn, Responsible AI, and others for overcoming some of these biases, as well as the responsibility of data scientists and ML engineers. We'll also touch on some of the more accessible ways of getting started with AI for those interested, including Azure Cognitive Services and Azure Machine Learning.